Triple

T6525013
Position Surface form Disambiguated ID Type / Status
Subject LabVIEW E151280 entity
Predicate developer P73 FINISHED
Object National Instruments E151288 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: National Instruments | Statement: [LabVIEW, developer, National Instruments]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National Instruments
Context triple: [LabVIEW, developer, National Instruments]
  • A. National Instruments chosen
    National Instruments is an American company that develops automated test and measurement systems, best known for its LabVIEW graphical programming environment and modular instrumentation hardware.
  • B. Tektronix
    Tektronix is an American company best known for designing and manufacturing electronic test and measurement equipment such as oscilloscopes and signal analyzers.
  • C. Agilent Technologies
    Agilent Technologies is a global company specializing in life sciences, diagnostics, and analytical laboratory instruments and services.
  • D. Teledyne
    Teledyne is an American industrial conglomerate known for its diversified operations in electronics, instrumentation, aerospace, and digital imaging technologies.
  • E. MathWorks
    MathWorks is a software company best known for creating MATLAB and Simulink, widely used platforms for numerical computing, simulation, and model-based design in engineering and science.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad9831f88190a2b64cf6bc8c9a11 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e416e884819099c788cc3a814414 completed March 27, 2026, 8:09 p.m.
Created at: March 27, 2026, 1:45 p.m.